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共 180 条记录，以下是71-80 订阅

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GRAPP 2009 - Proceedings of the 4th international conference on Computer Graphics theory and applications

GRAPP 2009 - Proceedings of the 4th International Conference...

引用

4th international conference on Computer Graphics theory and applications, GRAPP 2009

ISBN: (纸本)9789898111678

the proceedings contain 59 papers. the topics discussed include: optical coherence tomography: optical biospy and functional imaging;intelligent pattern recognition and applications to biometrics in an interactive environment;digital photography for computer graphics and its applications;redefining content creation for video games and films;fast spatially controllable 2D/3D texture synthesis and morphing for multiple input textures;facial normal map capture using four lights - an effective and inexpensive method of capturing the fine scale detail of human faces using four point lights;automatic trimap extraction for efficient alpha matting based on gradient field transforms;comparing GGNG3D and quadric error metrics methods to simplify 3D meshes;and implementation of 24-ARY grid representation for rectangular solid dissections.

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Heuristics to model the dependencies between features in fuzzy pattern matching

Heuristics to model the dependencies between features in fuz...

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Joint 4th conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and applications, LFA 2005

作者： Cadenas, J.M. Garrido, M.C. Herníandez, J.J. Departamento de Ingeniería de la Informacion y Las Comunicaciones Universidad de Murcia. 30071-Campus de Espinardo Murcia Spain

ISBN: (纸本)8476538723

Fuzzy pattern matching technique repre- sents a group of fuzzy methods for super- vised fuzzy pattern recognition. these methods build a prototype for each fea- ture and combine the partial estimations of each prototype by a fusion operator. One of the major problems of this tech- nique is that it is not able to model the dependencies between features, and nowadays there is no heuristic in the lit- erature that solves this problem. In this paper we propose a solution to this prob- lem. In order to keep the good properties of fuzzy pattern matching, this heuristic will have the objective of minimizing the dependencies between features modelled. To show the accuracy of the proposed so- lution, we have tested the method on sev- eral data sets. In this paper, we present the results obtained in a simulated data set and a real data set.

关键词： pattern matching

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Big Data Analytics and pattern recognition methods in the Problem of Optimization of Technological Processes in Metallurgical Production 4

Big Data Analytics and Pattern Recognition Methods in the Pr...

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4th Big Data conference (BDC)

作者： Gainanov, D. Berenov, D. Ural Fed Univ Dept Big Data Analyt & Methods Video Anal Ekaterinburg Russia Ural Fed Univ Ekaterinburg Russia

the paper considers the problem of predicting the quality of metallurgical production in a general formulation, when a huge amount of historical data of technological processes and product quality can be partitioned into a set of discrete classes of efficiency. Assuming that in the production process the technological process route can be changed, the problem of choosing the optimal route becomes important. When constructing the decision tree that recognizes the class of efficiency of the technological process, a special criterion for optimality of the partitioning of the set of classes of efficiency into two classes is introduced corresponding to the left and right branches of the decision tree in the node under consideration. the partitioning obtained by the proposed approach is close to optimal and can form the basis for constructing a decision tree, with the help of which a route is chosen to continue processing.

关键词： pattern recognition

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Annealing by Increasing Resampling 8th

Annealing by Increasing Resampling

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8th international conference on pattern recognition applications and methods (icpram)

作者： Higuchi, Naoya Imamura, Yasunobu Shinohara, Takeshi Hirata, Kouichi Kuboyama, Tetsuji Kyushu Inst Technol Kawazu 680-4 Iizuka Fukuoka 8208502 Japan Syst Studio COLUN Kokubu Machi 221-2 Kurume Fukuoka 8390863 Japan Gakushuin Univ Mejiro 1-5-1 Tokyo 1718588 Japan

ISBN: (纸本)9783030400149;9783030400132

Annealing by Increasing Resampling (AIR, for short) is a stochastic hill-climbing optimization algorithm that evaluates the objective function for resamplings with increasing size. At the beginning stages, AIR makes state transitions like a random walk, because it uses small resamplings for which evaluation has large error at high probability. At the ending stages, AIR behaves like a local search because it uses large resamplings very close to the entire sample. thus AIR works similarly as the conventional Simulated Annealing (SA, for short). As a rationale for AIR approximating SA, we show that both AIR and SA can be regarded as a hill-climbing algorithm according to objective function evaluation with stochastic fluctuations. the fluctuation in AIR is explained by the probit, while in SA by the logit. We show experimentally that the logit can be replaced with the probit in MCMC, which is a basis of SA. We also show experimental comparison of SA and AIR for two optimization problems, sparse pivot selection for dimension reduction, and annealing-based clustering. Strictly speaking, AIR must use resampling independently performed at each transition trial. However, it has been demonstrated by experiments that reuse of resampling within a certain number of times can speed up optimization without losing the quality of optimization. In particular, the larger the samples used for evaluation, the more remarkable the superiority of AIR is in terms of speed with respect to SA.

关键词： Annealing by Increasing Resampling Simulated Annealing Logit probit Metaheuristics Optimization Dimension reduction Pivot selection

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Some new algorithms and software implementation methods for pattern recognition research part II. Software implementation methods 3

Some new algorithms and software implementation methods for ...

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3rd IEEE international Computer Software and applications conference, COMPSAC 1979

this part of the paper describes a base level modular interactive software system MISS developed to facilitate implementation of research oriented modular software systems. Also described is a powerful high level language supported interactive image processing and pattern recognition research system IPS that has been implemented within the MISS framework. Although the image processing and pattern recognition related software modules which make up IPS were developed on an independent basis, adherence to the framework and conventions defined for the MISS system has enabled a large number of researchers to create, share, document and, maintain a large number of complex software modules that would otherwise be easily lost or have to be duplicated in many different projects. the IPS system has been used for several years to investigate a variety of image processing and pattern recognition algorithms and applications which are described separately in the literature [5,6,7,8,9,10,11,12,13]. © 1979 IEEE.

关键词： High level languages

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Combined Local pattern (CLP): A Novel Descriptor for Face recognition 4

Combined Local Pattern (CLP): A Novel Descriptor for Face Re...

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4th international conference on Inventive Research in Computing applications, ICIRCA 2022

作者： Karanwal, Shekhar Cse Department UK Dehradun India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

LBP is renowned as most powerful texture descriptor. But major issue which LBP possesses is the noisy thresholding function. this sacrifices the discriminativity of the descriptor. To complement that three LBP variants are introduced and these are Mean LBP (MLBP), Median LBP (MnLBP) and Combined Local pattern (CLP). In MLBP, the mean of the whole patch (3×3) is used for neighborhoods comparison. In MnLBP, the median of whole patch (3×3) is used for neighborhood comparison. the Mean and Median value proves out very effective in contrast to LBP, in which center pixel is used for the neighborhoods comparison. Both MLBP and MnLBP comprehensively conquer the performance of the LBP. To build more productive descriptor features of LBP, MLBP and MnLBP are integrated into one framework. this joined descriptor is called as CLP. the CLP conquer the results of all alone descriptors. Additionally it outrun the performance of the various literature methods. the compression in feature size is accomplished by PCA and classification is assisted from SVMs. Experiments are conducted on ORL and GT face datasets. © 2022 IEEE.

关键词： Local binary pattern

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A Detailed Review of Feature Extraction in Image Processing Systems

A Detailed Review of Feature Extraction in Image Processing ...

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4th international conference on Advanced Computing and Communication Technologies (ACCT)

作者： Kumar, Gaurav Bhatia, Pradeep Kumar Panipat Inst Engn & Technol Dept Informat Technol Panipat Haryana India GJ Univ Sci Technol Dept Comp Sci Engn Hisar Haryana India

ISBN: (纸本)9781479949106

Feature plays a very important role in the area of image processing. Before getting features, various image preprocessing techniques like binarization, thresholding, resizing, normalization etc. are applied on the sampled image. After that, feature extraction techniques are applied to get features that will be useful in classifying and recognition of images. Feature extraction techniques are helpful in various image processing applications e.g. character recognition. As features define the behavior of an image, they show its place in terms of storage taken, efficiency in classification and obviously in time consumption also. Here in this paper, we are going to discuss various types of features, feature extraction techniques and explaining in what scenario, which features extraction technique, will be better. Hereby in this paper, we are going to refer features and feature extraction methods in case of character recognition application.

关键词： Feature Extraction Image Processing Optical Character recognition (OCR) pattern recognition

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Multidimensional Time Series Analysis for Anomaly pattern Detection and Interpretation 4

Multidimensional Time Series Analysis for Anomaly Pattern De...

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4th IEEE international conference on Power, Electronics and Computer applications, ICPECA 2024

作者： Deng, Ziling Kang, Jiahua Wang, Xiaoxiao University of Electronic Science and Technology of China Computer Science and Engineering Chengdu China

ISBN: (纸本)9798350359589

the interpretability of multivariate time series anomaly detection is crucial for understanding the reasons behind anomalies, enhancing the usability and credibility of models, and ensuring successful real-world applications. Although there has been considerable research on the interpretability of time series, most are based on black-box models and have certain limitations in revealing the underlying patterns of anomalies. To address this issue, this paper focuses on identifying anomaly patterns in multivariate time series using a white-box machine learning approach, which overcomes the interpretability limitations of traditional methods in high-dimensional dynamic data processing. this approach innovatively enhances the application of Dynamic Time Warping (DTW) in higher dimensions to effectively capture anomaly patterns of any length, while identifying both short-term and long-term anomalies. Experiments on the Yahoo dataset demonstrate its high accuracy and reliability in anomaly pattern detection, particularly in explaining the reasons and impacts of identified anomaly patterns. this innovation marks a breakthrough in anomaly pattern interpretation, showing significant practicality and interpretability in real-world applications, and provides vital support for decision-making and predictive modeling in time series analysis. © 2024 IEEE.

关键词： Anomaly pattern Extraction Data Interpretability Multidimensional Time Series pattern recognition

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Sign Language Gesture Classification Using Neural Networks 4

Sign Language Gesture Classification Using Neural Networks

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4th international conference on Advances in Speech and Language Technologies for Iberian Languages, IberSPEECH 2018

作者： Parcheta, Zuzanna Martínez-Hinarejos, Carlos-D. Sciling S.L. Carrer del Riu 321 Pinedo 46012 Spain Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camino de Vera s/n 46022 Spain

Recent studies have demonstrated the power of neural networks for different fields of artificial intelligence. In most fields, such as machine translation or speech recognition, neural networks outperform previously used methods (Hidden Markov Models with Gaussian Mixtures, Statistical Machine Translation, etc.). In this paper, the efficiency of the LeNet convolutional neural network for isolated word sign language recognition is demonstrated. As a preprocessing step, we apply several techniques to obtain the same dimension for the input that contains gesture information. the performance of these preprocessing techniques on a Spanish Sign Language dataset is evaluated. these approaches outperform previously obtained results based on Hidden Markov Models. © 4th international conference, IberSPEECH 2018.

关键词： Gesture recognition

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pattern recognition in road networks on the example of circular road detection

Pattern recognition in road networks on the example of circu...

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4th international conference on Geographic Information Science

作者： Heinzle, Frauke Anders, Karl-Heinrich Sester, Monika Univ Hannover Inst Cartog & Geoinformat D-30167 Hannover Germany

ISBN: (纸本)3540445269

the paper will introduce into the subject of recognition of typical patterns in road networks. Especially we will describe the search for ring structures and its implementation in detail. applications to detect these patterns and to use them for eliciting additional implicit knowledge in vector data are shown. We will familiarise the reader with different methods and approaches for the automatic detection of those patterns in vector data. the retrieval of implicit information in vector data can be very helpful for many tasks, ranging from generalisation of maps to the spatial analysis and enrichment of GIS data to make it searchable by search engines.

关键词： pattern recognition

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